The first-hour-of-the-day sleep EEG reliably identifies interictal epileptiform discharges during long-term video-EEG monitoring
نویسندگان
چکیده
منابع مشابه
Detection of Interictal Epileptiform Discharges in Eeg
The diagnosis of epilepsy heavily depends on the detection of epileptiform discharges in interictal EEG, the EEG in between two seizures. By visual analysis a physician wants to detect these epileptiform discharges (spikes). Due to the wide variety of morphologies of epileptiform discharges, and their similarity to waves that are part of normal EEG or to artifacts, this detection is far from st...
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Long term video electro-encephalographic (EEG) monitoring (LTM) is defined as the continuous and synchronized recording of EEG and multimedia to analyze brain abnormalities. A conventional LTM system continuously records EEG in the frequency range of 0.5-70Hz. The data synchronization, the high-volume data management, the system reliability as well as noise reduction remain significant challeng...
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متن کاملLatency of interictal epileptiform discharges in long-term EEG recordings in epilepsy patients
PURPOSE To assess the latency of interictal epileptiform discharges (IED) and seizures in long-term EEG recordings of patients with epilepsy. METHOD IED latency was measured in 210 consecutive patients (mean (SD) age 38.6 ± 13.9 years) with active epilepsy and the relationship to clinical variables was analyzed retrospectively. Median duration of EEG recording was 101.5h (95% confidence inter...
متن کاملReproducible localization of interictal epileptiform discharges using EEG-triggered fMRI.
We report preliminary experiences using fMRI triggered by EEG to localize the site of interictal epileptiform activity. EEG was recorded in the scanner and monitored on-line; the recording quality was good enough to allow the clear identification of spikes in the EEG. Snap-shot EPI was performed 2-4 s after an epileptiform discharge ('spike') or after at least 10 s of background activity ('rest...
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ژورنال
عنوان ژورنال: Seizure
سال: 2018
ISSN: 1059-1311
DOI: 10.1016/j.seizure.2018.10.015